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Bilal Piot — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Bilal Piot
19
papers ·
5115
citations ·
20
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Rainbow: Combining Improvements in Deep Reinforcement Learning
2017 · 428 citations
Noisy Networks for Exploration
2017 · 391 citations
Deep Q-learning from Demonstrations
2017 · 307 citations
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning
2022 · 150 citations
Agent57: Outperforming the Atari Human Benchmark
2020 · 147 citations
Observe and Look Further: Achieving Consistent Performance on Atari
2018 · 87 citations
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
2020 · 42 citations
The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning
2017 · 28 citations
Hindsight Credit Assignment
2019 · 17 citations
A General Theoretical Paradigm to Understand Learning from Human Preferences
2023 · 14 citations
Geometric Entropic Exploration
2021 · 8 citations
Understanding Self-Predictive Learning for Reinforcement Learning
2022 · 1 citations
Nash Learning from Human Feedback
2023 · 1 citations
Multi-turn Reinforcement Learning from Preference Human Feedback
2024 · 1 citations
Offline Regularised Reinforcement Learning for Large Language Models Alignment
2024 · 1 citations
Top co-authors
Mohammad Gheshlaghi Azar
· 9
Daniele Calandriello
· 5
R\'emi Munos
· 5
Remi Munos
· 5
Daniel Guo
· 4
Michal Valko
· 4
Olivier Pietquin
· 4
Will Dabney
· 4
Audrunas Gruslys
· 3
Bernardo Avila Pires
· 3
Thomas Mesnard
· 3
Yunhao Tang
· 3
Topics
Value-Based
Game AI
Policy Gradient
Exploration
Model-Based RL
RLHF & Alignment
Offline RL
Multi-Agent
Meta-RL
Safe RL